Dharmendra Sahay co-wrote this blog post with Arun Shastri.
This post is the first in a two-part series.
In a few days, we’ll be presenting our thoughts on how to create impact with artificial intelligence at the 2018 PMSA Annual Conference. We’ll talk about how AI is being used in life sciences and how AI could be used, and we’ll bust some myths. We’ll also share detailed advice on how to start or expand an AI capability at your organization, which includes these five critical steps:
This post is the first in a three-part series on how pharma companies can achieve customer centricity.
“I know what to do, I just can’t do it.”
Sound familiar? Most life sciences companies have made, and continue to make, significant investments in digital promotion tactics, digital data, cloud-based customer databases, machine learning and artificial intelligence. These investments have enabled companies to capture more customer information, develop new and better insights into customer preferences, and obtain these insights faster than ever before. These new capabilities enable life sciences companies to take actions to better meet customer needs, delivering content via tactics at the optimal time.
Sandeep Varma and Raghav Sharma co-wrote this blog post with Vickye Jain.
Pharmaceutical companies have a reputation for lagging behind other industries when it comes to technology, but that reputation now seems unwarranted in many respects. As technology professionals who work with pharmaceutical clients, we feel an obligation not only to share how pharma is innovating, but also to bring those innovations back to pharma. At two recent industry events, the Strata Data Conference in Singapore and the Spark Summit in Ireland, we learned a great deal from the presentations that we attended, and almost just as much from the audience’s reaction to our own presentations. Here are our top three takeaways from these conferences: